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- Xgboost Algoritmasıyla Polikistik Over Sendromu Teşhisi
- DNN-DTIs: improved drug-target interactions prediction using XGBoost feature selection and deep neural network
- Binding of Steroid Hormones by the 105,000 x g Supernatant Fraction from Homogenates of Rat Skin and Variations during the Hair Cycle
- Skin permeation of curcumin nanocrystals: Effect of particle size, delivery vehicles, and permeation enhancer
- Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
- Application of big data analytics in minoxidil drug development: a data-driven model for predicting efficacy and side effect risks
- Rare Case of Alopecia: Alopecia Neoplastica
- Prediction of therapeutic outcomes of female pattern hair loss patients based on clinical features with application of artificial intelligence
- A machine learning approach for non-invasive PCOS diagnosis from ultrasound and clinical features
- Damage of hair follicle stem cells and alteration of keratin expression in external radiation-induced acute alopecia
- Phenotype-Specific Lifestyle Prediction for PCOS Using Machine Learning Multi-Class Classification and SHAP Explainability
- A Comparative Study of Machine Learning Algorithms in Predicting Mental Disorders
- Predicting Polycystic Ovary Syndrome among Reproductive-Aged Women in Bangladesh Using Machine Learning Algorithms: Development of a Hospital-Based Predictive Model
- A Hybrid Transfer Learning Approach Using Obesity Data for Predicting Cardiovascular Diseases Incorporating Lifestyle Factors
- AI04 A novel machine learning software application for prognosticating cutaneous malignant melanoma based on data from 78 351 patients from the Surveillance, Epidemiology, and End Results (SEER) database
- Predictive Modeling of Hair Fall using Random Forest Algorithms
- Drug Repurposing against KRAS Mutant G12C: A Machine Learning, Molecular Docking, and Molecular Dynamics Study
- Lipidized Fibrous Histiocytoma: Differential Diagnosis from Juvenile Xanthogranuloma
- LB1040 Machine learning-based predictive model with routine blood work identifies moderate-severe alopecia areata
- White piedra: molecular identification of Trichosporon inkin in members of the same family
- Fucoidan-derived carbon dots against Enterococcus faecalis biofilm and infected dentinal tubules for the treatment of persistent endodontic infections
- Exogenous calreticulin improves diabetic wound healing
- Application of Nanoemulsions in Cosmetics
- Apoptotic dysregulation mediates stem cell competition and tissue regeneration
- High-coverage genome of the Tyrolean Iceman reveals unusually high Anatolian farmer ancestry
- 17β-Estradiol Enhances Vascular Endothelial Growth Factor Production and Dihydrotestosterone Antagonizes the Enhancement via the Regulation of Adenylate Cyclase in Differentiated THP-1 Cells
- A pilot split-scalp study of combined fractional radiofrequency microneedling and 5% topical minoxidil in treating male pattern hair loss
- hUC-MSC-exosomes deliver Let-7b/7f-5p to dermal papilla cells for a multi-target synergistic treatment of androgenetic alopecia
- Rapid Genetic Analysis of Epithelial-Mesenchymal Signaling During Hair Regeneration
- Cutaneous TRPV4 Potentiates the Afferent Transmission of Electroacupuncture Stimulation